Jacek M. Leski

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 26

Top Topics

Impulsive Noise

Atrial Fibrillation

Fuzzy Clustering

Top Venues

Fuzzy Sets Syst.

Biomed. Signal Process. Control.

Publications

Pierpaolo D'Urso, Jacek M. Leski
OWA-based robust fuzzy clustering of time series with typicality degrees. Inf. Sci. 651 (2023)
Jacek M. Leski
-regression models based on fuzzy S-estimators. Fuzzy Sets Syst. 465 (2023)
Robert Czabanski, Michal Jezewski, Jacek M. Leski, Krzysztof Horoba, Janusz Wrobel, Radek Martinek, Katerina Barnova
Refining the rule base of fuzzy classifier to support the evaluation of fetal condition. Appl. Soft Comput. 147 (2023)
Jacek M. Leski
Robust nonlinear aggregation operator for ECG powerline interference reduction. Biomed. Signal Process. Control. 69 (2021)
Przemyslaw Kudlacik, Jacek M. Leski
Practical aspects of equivalence of Baldwin's and Zadeh's fuzzy inference. J. Intell. Fuzzy Syst. 40 (3) (2021)
Marian Kotas, Adam Dyrek, Michal Piela, Jacek M. Leski
Clustering based multiple state-space projections. Signal Process. 178 (2021)
Michal Jezewski, Robert Czabanski, Jacek M. Leski, Adam Matonia, Radana Kahankova
On ε-insensitive simplification of fuzzy rules for fetal distress assessment. Expert Syst. Appl. 179 (2021)
Robert Czabanski, Michal Jezewski, Jacek M. Leski, Tomasz Kupka, Radek Martinek
Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State. BIBE (2020)
Michal Jezewski, Robert Czabanski, Jacek M. Leski, Adam Matonia, Radek Martinek
Combining ε-similar Fuzzy Rules for Efficient Classification of Cardiotocographic Signals. MIXDES (2020)
Jacek M. Leski, Robert Czabanski, Michal Jezewski, Janusz Jezewski
Fuzzy Ordered $c$-Means Clustering and Least Angle Regression for Fuzzy Rule-Based Classifier: Study for Imbalanced Data. IEEE Trans. Fuzzy Syst. 28 (11) (2020)
Pierpaolo D'Urso, Jacek M. Leski
Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging. Fuzzy Sets Syst. 389 (2020)
Robert Czabanski, Krzysztof Horoba, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Michal Jezewski, Radana Kahankova, Janusz Jezewski, Jacek M. Leski
Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine. Sensors 20 (3) (2020)
Jader Giraldo-Guzmán, Marian Kotas, Michal Piela, Francisco Castells, Jacek M. Leski, Sonia H. Contreras Ortiz
Application of Spatio-Temporal Filtering for Atrial Activity Waveforms Enhancement. SSIP (2019)
Krzysztof Horoba, Robert Czabanski, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Radana Kahankova, Jacek M. Leski, Slawomir Graczyk
Recognition of Atrial Fibrilation Episodes in Heart Rate Variability Signals Using a Machine Learning Approach. MIXDES (2019)
Michal Jezewski, Robert Czabanski, Jacek M. Leski, Janusz Jezewski
Fuzzy classifier based on clustering with pairs of ε-hyperballs and its application to support fetal state assessment. Expert Syst. Appl. 118 (2019)
Tomasz Przybyla, Marian Kotas, Jacek M. Leski
On clustering based nonlinear projective filtering of biomedical signals. Biomed. Signal Process. Control. 44 (2018)
Jacek M. Leski, Marian Kotas
Linguistically Defined Clustering of Data. Int. J. Appl. Math. Comput. Sci. 28 (3) (2018)
Michal Jezewski, Robert Czabanski, Jacek M. Leski
Introduction to Fuzzy Sets. Theory and Applications of Ordered Fuzzy Numbers (2017)
Marian Kotas, Tomasz Pander, Jacek M. Leski, Tomasz Moron
Averaging of Nonlinearly Aligned Evoked Potentials in Impulsive Noise Environment. ICMMI (2017)
Michal Jezewski, Robert Czabanski, Jacek M. Leski
Fuzzy Clustering with \varepsilon -Hyperballs and Its Application to Data Classification. ICAISC (2) (2017)
Robert Czabanski, Michal Jezewski, Jacek M. Leski
Introduction to Fuzzy Systems. Theory and Applications of Ordered Fuzzy Numbers (2017)
Marian Kotas, Jacek M. Leski, Tomasz Moron, Jader Giraldo-Guzmán
Hierarchical Agglomerative Clustering of Time-Warped Series. ICMMI (2017)
Jacek M. Leski
Fuzzy c-ordered-means clustering. Fuzzy Sets Syst. 286 (2016)
Robert Czabanski, Michal Jezewski, Krzysztof Horoba, Janusz Jezewski, Jacek M. Leski
Fuzzy Analysis of Delivery Outcome Attributes for Improving the Automated Fetal State Assessment. Appl. Artif. Intell. 30 (6) (2016)
Michal Jezewski, Robert Czabanski, Krzysztof Horoba, Jacek M. Leski
Clustering with Pairs of Prototypes to Support Automated Assessment of the Fetal State. Appl. Artif. Intell. 30 (6) (2016)
Pierpaolo D'Urso, Jacek M. Leski
Fuzzy c-ordered medoids clustering for interval-valued data. Pattern Recognit. 58 (2016)
Jacek M. Leski, Marian Kotas, Tomasz Moron
PCA Based Hierarchical Clustering with Planar Segments as Prototypes and Maximum Density Linkage. ICMMI (2015)
Jacek M. Leski, Marian Kotas
Hierarchical clustering with planar segments as prototypes. Pattern Recognit. Lett. 54 (2015)
Marian Kotas, Jacek M. Leski, Tomasz Moron
Dynamic Time Warping Based on Modified Alignment Costs for Evoked Potentials Averaging. ICMMI (2015)
Michal Jezewski, Jacek M. Leski, Robert Czabanski
Classification Based on Incremental Fuzzy (1+p) ( 1 + p ) -Means Clustering. ICMMI (2015)
Tomasz Moron, Marian Kotas, Jacek M. Leski
Principal Component Analysis and Dynamic Time-Warping in Subbands for ECG Reconstruction. ICMMI (2015)
Jacek M. Leski, Marian Kotas
On robust fuzzy c-regression models. Fuzzy Sets Syst. 279 (2015)
Marian Kotas, Tomasz Pander, Jacek M. Leski
Averaging of nonlinearly aligned signal cycles for noise suppression. Biomed. Signal Process. Control. 21 (2015)
Jacek M. Leski
Fuzzy (c+p)-Means Clustering and Its Application to a Fuzzy Rule-Based Classifier: Toward Good Generalization and Good Interpretability. IEEE Trans. Fuzzy Syst. 23 (4) (2015)
Michal Jezewski, Jacek M. Leski
Application of the Conditional Fuzzy Clustering with Prototypes Pairs to Classification. ICMMI (2013)
Norbert Henzel, Jacek M. Leski
Design of Linear-Phase FIR Filters with Time and Frequency Domains Constraints by Means of AI Based Method. ICMMI (2013)
Jacek M. Leski, Norbert Henzel
Time Series of Fuzzy Sets in Classification of Electrocardiographic Signals. CORES (2013)
Norbert Henzel, Jacek M. Leski
Generalized Constraint Design of Linear-Phase FIR Digital Filters. CORES (2013)
Michal Jezewski, Jacek M. Leski
Nonlinear Extension of the IRLS Classifier Using Clustering with Pairs of Prototypes. CORES (2013)
Alina Momot, Michal Momot, Jacek M. Leski
An Application of Fuzzy C-Regression Models to Characteristic Point Detection in Biomedical Signals. ICMMI (2013)
Michal Jezewski, Jacek M. Leski
An Application of Fuzzy Clustering Method to Cardiotocographic Signals Classification. ICMMI (2011)
Jacek M. Leski
On support vector regression machines with linguistic interpretation of the kernel matrix. Fuzzy Sets Syst. 157 (8) (2006)
Jacek M. Leski, Aleksander J. Owczarek
A time-domain-constrained fuzzy clustering method and its application to signal analysis. Fuzzy Sets Syst. 155 (2) (2005)
Jacek M. Leski, Norbert Henzel
ECG baseline wander and powerline interference reduction using nonlinear filter bank. Signal Process. 85 (4) (2005)
Jacek M. Leski
TSK-fuzzy modeling based on ε-insensitive learning. IEEE Trans. Fuzzy Syst. 13 (2) (2005)
Aleksander J. Owczarek, Adam Gacek, Jacek M. Leski
-Regression Models. CORES (2005)
Tomasz Czogala, Jacek M. Leski
A Hybrid epsilon-Insensitive Learning of Fuzzy Systems. CORES (2005)
Jacek M. Leski, Aleksander J. Owczarek
A New Fuzzy Clustering Method with Constraints in Time Domain. ICAISC (2004)
Jacek M. Leski
An ε-margin nonlinear classifier based on fuzzy if-then rules. IEEE Trans. Syst. Man Cybern. Part B 34 (1) (2004)
Jacek M. Leski
ε-insensitive fuzzy c-regression models: introduction to ε-insensitive fuzzy modeling. IEEE Trans. Syst. Man Cybern. Part B 34 (1) (2004)
Jacek M. Leski, Adam Gacek
Computationally effective algorithm for robust weighted averaging. IEEE Trans. Biomed. Eng. 51 (7) (2004)
Jacek M. Leski
Fuzzy c-varieties/elliptotypes clustering in reproducing kernel Hilbert space. Fuzzy Sets Syst. 141 (2) (2004)
Jacek M. Leski
Generalized weighted conditional fuzzy clustering. IEEE Trans. Fuzzy Syst. 11 (6) (2003)
Jacek M. Leski
Towards a robust fuzzy clustering. Fuzzy Sets Syst. 137 (2) (2003)
Jacek M. Leski
Ho-Kashyap classifier with generalization control. Pattern Recognit. Lett. 24 (14) (2003)
Jacek M. Leski
Neuro-fuzzy system with learning tolerant to imprecision. Fuzzy Sets Syst. 138 (2) (2003)
Jacek M. Leski
Robust weighted averaging [of biomedical signals]. IEEE Trans. Biomed. Eng. 49 (8) (2002)
Ernest Czogala, Jacek M. Leski
On equivalence of approximate reasoning results using different interpretations of fuzzy if-then rules. Fuzzy Sets Syst. 117 (2) (2001)
Jacek M. Leski, Ernest Czogala
A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications. Fuzzy Sets Syst. 108 (3) (1999)
Ernest Czogala, Jacek M. Leski, Yoichi Hayashi
A Classifier Based on Neuro-Fuzzy Inference System Ernest. J. Adv. Comput. Intell. Intell. Informatics 3 (4) (1999)
Ernest Czogala, Jacek M. Leski
Application of entropy and energy measures of fuzziness to processing of ECG signal. Fuzzy Sets Syst. 97 (1) (1998)